Built to operate at national scale, with security, transparency, and institutional control
Architecture Principles
KRISHI360 is built on four foundational principles:
- Evidence-first design
Every decision is supported by verifiable data - Policy-driven logic
Rules reflect institutional policy, not opaque algorithms - Continuous intelligence
Monitoring replaces one-time verification - Scalable by design
From district pilots to national deployments
Layered, Modular Architecture
KRISHI360 follows a layered architecture, allowing institutions to adopt, integrate, and scale the platform without disruption. Each layer operates independently, yet functions as part of a unified system.
1
Data & Intelligence Layer
This layer brings together multiple data sources to create a single, trusted foundation.
- Farmer identity and demographic data
- Digitised land records and parcel boundaries
- Crop declarations and seasonal data
- Agro-climatic and historical datasets
- Satellite and field-level observations
All data is:
- Time-stamped
- Geo-referenced where applicable
- Linked to a persistent farmer–land–crop record
2
Decision & Rule Engine Layer
At the core of KRISHI360 is a policy-aligned decision framework.
- Institutional lending and program rules are codified into configurable rule engines
- Decisions follow predefined logic approved by the institution
- Outcomes remain transparent, explainable, and reviewable
This architecture ensures:
- Consistency across regions and branches
- Reduced discretionary variation
- Alignment with regulatory and policy frameworks
3
Monitoring & Verification Layer
KRISHI360 is designed for continuous observation, not periodic checks. This layer supports:
- In-season crop monitoring through remote intelligence
- Targeted field-level verification where required
- Time-series analysis to track changes over the crop cycle
The architecture allows institutions to:
- Detect deviations early
- Build historical evidence over time
- Reduce reliance on post-event verification
4
Financial & Risk Monitoring Layer
This layer connects financial activity with agricultural reality.
- Post-disbursement transactions are analysed against expected crop and loan parameters
- Behavioural and seasonal patterns are observed continuously
- Early warning indicators are generated to support proactive intervention
5
Integration & Interoperability Layer
KRISHI360 is built to integrate with existing institutional systems.
- Banking and cooperative core systems
- Government databases and program platforms
- Insurance systems and third-party data sources
Security, Audit & Compliance
— Built In
Deployment & Scalability
— From Village to Nation
Built for Long
-Term Governance